Systems and methods for automated image quality based diagnostics and remediation of document processing systems
First Claim
1. A system for automated image quality based prognostics, diagnostics and remediation of at least one document processing system, comprising:
- a data acquisition and diagnostic processing circuit that collects and processes data;
a diagnostic inference engine circuit that analyzes the data to obtain an initial diagnosis, the initial diagnosis including a list of potential defects in data corresponding to at least one image; and
an image quality analysis circuit that identifies at least one defect in the data corresponding to at least one image based on the list of potential defects, wherein the diagnostic inference engine circuit refines the initial diagnosis based on the at least one identified defect.
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Accused Products
Abstract
During the operation of a document processing system machine and job data are collected from a document processing system. Optionally, machine information, both for the specific machine and population based data are acquired from a database or server. Having accumulated the job data and machine data, the diagnostic inference engine performs an analysis to determine the initial diagnosis of the document processing system. After obtaining the initial diagnosis, the system determines the test patterns to be printed and the image quality tests to be performed. The system then prints test patterns, and scans the patterns to determine image quality parameters and/or to automatically identify image defects. Optionally, image defect information may also be provided by the customer or the service engineer via a user interface. Next, a diagnostic inference engine uses the results of the image quality analysis to refine the initial diagnosis. Then, the diagnostic results are output, stored, and optionally displayed to, for example a customer or a customer service engineer. Based on the diagnostic results, and if problems are found, the machine enters a repair sequence. In particular, the machine can request either a customer or a customer service engineer repair action, or, alternatively, enter an auto-correction or an auto-calibration mode to repair itself. Upon completion of one or more, or any combination, of these repair actions, the machine verifies its operation and again checks to ensure the repairs have been completed successfully.
265 Citations
40 Claims
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1. A system for automated image quality based prognostics, diagnostics and remediation of at least one document processing system, comprising:
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a data acquisition and diagnostic processing circuit that collects and processes data;
a diagnostic inference engine circuit that analyzes the data to obtain an initial diagnosis, the initial diagnosis including a list of potential defects in data corresponding to at least one image; and
an image quality analysis circuit that identifies at least one defect in the data corresponding to at least one image based on the list of potential defects, wherein the diagnostic inference engine circuit refines the initial diagnosis based on the at least one identified defect. - View Dependent Claims (2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14)
an image determination circuit that identifies an image to print; and
a printer that produces the at least one image.
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11. The system of claim 1, further comprising:
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a scanner that digitizes the at least one image; and
an image recognition circuit that verifies the identity of the at least one image.
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12. The system of claim 1, further comprising an autonomous repair circuit that controls an autonomous repair.
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13. The system of claim 12, wherein the autonomous repair circuit establishes a communication with the at least one document processing system, the communication including at least one of transferring monitoring information, interrogation information, control information, repair information and results of the refined initial diagnosis.
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14. The system of claim 1, further comprising at least one controller that supplies the at least one machine data to the diagnostic inference engine circuit.
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15. A method for automated image quality based prognostics, diagnostics and remediation of at least one document processing system, comprising:
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obtaining data pertaining to the at least one document processing system;
analyzing the data to obtain an initial diagnosis, the initial diagnosis including a list of potential defects in data corresponding to at least one image;
generating at least one image;
performing an image quality analysis of the data corresponding to the at least one image based on the list of potential defects; and
refining the initial diagnosis based on results of the image quality analysis. - View Dependent Claims (16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27)
determining the at least one image to print; and
printing the at least one image.
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22. The method of claim 15, further comprising:
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scanning the at least one image; and
verifying the identity of the at least one image.
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23. The method of claim 15, further comprising verifying the at least one document processing system'"'"'s operation after completion of a repair.
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24. The method of claim 15, wherein the image quality analysis detects at least one image defect including lines, bands, streaks, spots, mottle, halo, splatter, light images, dark images, blank images, deletions, background ink contamination, graininess, ghosting, skew, registration defects, color balance, color registration, color variation within a page, print-to-print variation, inboard-outboard variation, loss of a tone-reproduction, line width, edge width, line density, line edge, line shape, sharpness, contours, reload and pixel-to-pixel placement defects.
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25. The method of claim 15, wherein the image quality analysis is based on at least one of Fourier transform analysis, histogramming, edge detection, 1-D projections, segmentation, classification, artifact detection, FIR filtering, morphological analysis, wavelet analysis and statistical analysis pattern recognition techniques and neural networks.
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26. The method of claim 15, further comprising initialing an autonomous repair.
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27. The method of claim 26, wherein initializing the autonomous repair includes establishing a communication with the at least one document processing system, the communication including at least one of transferring monitoring information, interrogation information, control information, repair information and results of the refined initial diagnosis.
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28. An information storage medium that stores a program, executable on a processing device, for automated image quality based prognostics, diagnostics and remediation of at least one document processing system, comprising:
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instructions for obtaining data pertaining to the at least one document processing system;
instructions for analyzing the data to obtain an initial diagnosis, the initial diagnosis including a list of potential defects in data corresponding to at least one image;
instructions for generating at least one image;
instructions for performing an image quality analysis of the data corresponding to the at least one image based on the list of potential defects; and
instructions for refining the initial diagnosis based on results of the image quality analysis. - View Dependent Claims (29, 30, 31, 32, 33, 34, 35, 36, 37, 38, 39, 40)
instructions for determining the at least one image to print; and
instructions for printing a hard copy of the at least one image.
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35. The information storage medium of claim 28, further comprising:
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instructions for scanning the at least one image; and
instructions for verifying the identity of the at least one image.
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36. The information storage medium of claim 28, further comprising instructions for verifying the at least one document processing system'"'"'s operation after completion of a repair.
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37. The information storage medium of claim 28, wherein the image quality analysis detects at least one image defect including lines, bands, streaks, spots, mottle, halo, splatter, light images, dark images, blank images, deletions, background ink contamination, graininess, ghosting, skew, registration defects, color balance, color registration, color variation within a page, print-to-print variation, inboard-outboard variation, loss of a tone-reproduction, line width, edge width, line density, line edge, line shape, sharpness, contours, reload and pixel-to-pixel placement defects.
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38. The information storage medium of claim 28, wherein the image quality analysis is based on at least one of Fourier transform analysis, histogramming, edge detection, 1-D projections, segmentation, classification, artifact detection, FIR filtering, morphological analysis, wavelet analysis and statistical analysis pattern recognition techniques and neural networks.
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39. The information storage medium of claim 28, further comprising instructions for initializing an autonomous repair.
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40. The information storage medium of claim 39, wherein initializing the autonomous repair includes establishing a communication with the at least one document processing system, the communication including at least one of transferring monitoring information, interrogation information, control information, repair information and results of the refined initial diagnosis.
Specification